{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-09-20T12:57:52.272319Z",
     "iopub.status.busy": "2020-09-20T12:57:52.271340Z",
     "iopub.status.idle": "2020-09-20T12:57:53.124163Z",
     "shell.execute_reply": "2020-09-20T12:57:53.123166Z",
     "shell.execute_reply.started": "2020-09-20T12:57:52.272319Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-09-20T12:57:53.127155Z",
     "iopub.status.busy": "2020-09-20T12:57:53.126159Z",
     "iopub.status.idle": "2020-09-20T12:57:54.380294Z",
     "shell.execute_reply": "2020-09-20T12:57:54.379296Z",
     "shell.execute_reply.started": "2020-09-20T12:57:53.127155Z"
    }
   },
   "outputs": [],
   "source": [
    "df = pd.read_csv(r'F:\\数据处理工具\\原始日志\\测试数据.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-09-20T12:57:54.382292Z",
     "iopub.status.busy": "2020-09-20T12:57:54.381291Z",
     "iopub.status.idle": "2020-09-20T12:57:54.515931Z",
     "shell.execute_reply": "2020-09-20T12:57:54.514936Z",
     "shell.execute_reply.started": "2020-09-20T12:57:54.382292Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 724429 entries, 0 to 724428\n",
      "Data columns (total 13 columns):\n",
      " #   Column      Non-Null Count   Dtype  \n",
      "---  ------      --------------   -----  \n",
      " 0   @timestamp  724429 non-null  object \n",
      " 1   assist      724429 non-null  int64  \n",
      " 2   battleid    724429 non-null  int64  \n",
      " 3   battletid   724429 non-null  int64  \n",
      " 4   death       724429 non-null  int64  \n",
      " 5   herotid     724429 non-null  int64  \n",
      " 6   kill        724429 non-null  int64  \n",
      " 7   modetid     724429 non-null  int64  \n",
      " 8   playtime    0 non-null       float64\n",
      " 9   role_id     724429 non-null  int64  \n",
      " 10  score       724429 non-null  float64\n",
      " 11  usernum     724429 non-null  int64  \n",
      " 12  victory     724429 non-null  int64  \n",
      "dtypes: float64(2), int64(10), object(1)\n",
      "memory usage: 71.9+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-09-20T12:57:54.518927Z",
     "iopub.status.busy": "2020-09-20T12:57:54.517927Z",
     "iopub.status.idle": "2020-09-20T12:57:54.561844Z",
     "shell.execute_reply": "2020-09-20T12:57:54.559830Z",
     "shell.execute_reply.started": "2020-09-20T12:57:54.518927Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>@timestamp</th>\n",
       "      <th>assist</th>\n",
       "      <th>battleid</th>\n",
       "      <th>battletid</th>\n",
       "      <th>death</th>\n",
       "      <th>herotid</th>\n",
       "      <th>kill</th>\n",
       "      <th>modetid</th>\n",
       "      <th>playtime</th>\n",
       "      <th>role_id</th>\n",
       "      <th>score</th>\n",
       "      <th>usernum</th>\n",
       "      <th>victory</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-04-16 00:01:21</td>\n",
       "      <td>0</td>\n",
       "      <td>110821970807</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>27</td>\n",
       "      <td>6</td>\n",
       "      <td>120</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2100235247</td>\n",
       "      <td>9.770</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-04-16 00:01:21</td>\n",
       "      <td>0</td>\n",
       "      <td>110821970807</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>12</td>\n",
       "      <td>4</td>\n",
       "      <td>132</td>\n",
       "      <td>NaN</td>\n",
       "      <td>188984</td>\n",
       "      <td>7.906</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-04-16 00:01:21</td>\n",
       "      <td>1</td>\n",
       "      <td>110821970807</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "      <td>132</td>\n",
       "      <td>NaN</td>\n",
       "      <td>189005</td>\n",
       "      <td>7.586</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-04-16 00:01:21</td>\n",
       "      <td>2</td>\n",
       "      <td>110821970807</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>132</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>5.294</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-04-16 00:01:21</td>\n",
       "      <td>0</td>\n",
       "      <td>110821970807</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>132</td>\n",
       "      <td>NaN</td>\n",
       "      <td>189131</td>\n",
       "      <td>7.699</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            @timestamp  assist      battleid  battletid  death  herotid  kill  \\\n",
       "0  2020-04-16 00:01:21       0  110821970807          8      2       27     6   \n",
       "1  2020-04-16 00:01:21       0  110821970807          8      2       12     4   \n",
       "2  2020-04-16 00:01:21       1  110821970807          8      2       13     3   \n",
       "3  2020-04-16 00:01:21       2  110821970807          8      2       16     0   \n",
       "4  2020-04-16 00:01:21       0  110821970807          8      2       19     3   \n",
       "\n",
       "   modetid  playtime     role_id  score  usernum  victory  \n",
       "0      120       NaN  2100235247  9.770        1        1  \n",
       "1      132       NaN      188984  7.906        1        1  \n",
       "2      132       NaN      189005  7.586        1        1  \n",
       "3      132       NaN      189089  5.294        1        0  \n",
       "4      132       NaN      189131  7.699        1        0  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-09-20T10:56:35.969914Z",
     "iopub.status.busy": "2020-09-20T10:56:35.968880Z",
     "iopub.status.idle": "2020-09-20T10:56:40.090459Z",
     "shell.execute_reply": "2020-09-20T10:56:40.089478Z",
     "shell.execute_reply.started": "2020-09-20T10:56:35.969914Z"
    }
   },
   "source": [
    "### 分组统计\n",
    "\n",
    "1、比如我们拿**modetid**为分组，统计**role_id**人次\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-09-20T12:57:54.568792Z",
     "iopub.status.busy": "2020-09-20T12:57:54.567794Z",
     "iopub.status.idle": "2020-09-20T12:57:54.619482Z",
     "shell.execute_reply": "2020-09-20T12:57:54.616486Z",
     "shell.execute_reply.started": "2020-09-20T12:57:54.568792Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "modetid\n",
       "105     16290\n",
       "108     56577\n",
       "111     14762\n",
       "112      8027\n",
       "117       287\n",
       "118      5822\n",
       "119      2594\n",
       "120     31471\n",
       "123    251591\n",
       "125    224544\n",
       "131     55367\n",
       "132     27431\n",
       "133     15032\n",
       "141      7762\n",
       "142      6872\n",
       "Name: role_id, dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby('modetid')['role_id'].count()"
   ]
  },
  {
   "attachments": {
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"
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    "6b8ca917-0345-4ac8-adc3-3c22962bdae5.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-09-20T12:35:27.464714Z",
     "iopub.status.busy": "2020-09-20T12:35:27.464714Z",
     "iopub.status.idle": "2020-09-20T12:35:27.469703Z",
     "shell.execute_reply": "2020-09-20T12:35:27.468705Z",
     "shell.execute_reply.started": "2020-09-20T12:35:27.464714Z"
    }
   },
   "source": [
    "**在数据分组统计透视工具里操作如下**\n",
    "\n",
    "![图片.png](attachment:4b644b32-3d0c-4b55-8e33-9a70592a5a51.png)\n",
    "\n",
    "结果如下：\n",
    "\n",
    "![图片.png](attachment:6b8ca917-0345-4ac8-adc3-3c22962bdae5.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-09-20T12:51:13.940840Z",
     "iopub.status.busy": "2020-09-20T12:51:13.939814Z",
     "iopub.status.idle": "2020-09-20T12:51:13.949787Z",
     "shell.execute_reply": "2020-09-20T12:51:13.947791Z",
     "shell.execute_reply.started": "2020-09-20T12:51:13.940840Z"
    }
   },
   "source": [
    "2、其实吧，role_id里超过100万的是真人id，我们统计真人id的人数（非重复计数）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2020-09-20T12:57:54.623467Z",
     "iopub.status.busy": "2020-09-20T12:57:54.622477Z",
     "iopub.status.idle": "2020-09-20T12:57:54.762262Z",
     "shell.execute_reply": "2020-09-20T12:57:54.761266Z",
     "shell.execute_reply.started": "2020-09-20T12:57:54.623467Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "modetid\n",
       "105     6116\n",
       "108    28415\n",
       "111     1031\n",
       "112      728\n",
       "117      163\n",
       "118      922\n",
       "119      811\n",
       "120    13208\n",
       "125    22491\n",
       "Name: role_id, dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['role_id']>=1000000].groupby('modetid')['role_id'].nunique()"
   ]
  },
  {
   "attachments": {
    "a80d4da8-b675-48be-bf31-4b9dc21365dd.png": {
     "image/png": 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"
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**在数据分组统计透视工具里操作如下**\n",
    "\n",
    "![图片.png](attachment:d84efa75-951a-40f7-9b61-9929a8592c99.png)\n",
    "\n",
    "结果如下：\n",
    "![图片.png](attachment:a80d4da8-b675-48be-bf31-4b9dc21365dd.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
